A Survey on Computational Solutions for Reconstructing Complete Objects by Reassembling Their Fractured Parts Article Swipe
Jiaxin Lu
,
Ya Min Liang
,
Hongwei Han
,
Jing Hua
,
Junfeng Jiang
,
Xin Li
,
Qixing Huang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2410.14770
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2410.14770
Reconstructing a complete object from its parts is a fundamental problem in many scientific domains. The purpose of this article is to provide a systematic survey on this topic. The reassembly problem requires understanding the attributes of individual pieces and establishing matches between different pieces. Many approaches also model priors of the underlying complete object. Existing approaches are tightly connected problems of shape segmentation, shape matching, and learning shape priors. We provide existing algorithms in this context and emphasize their similarities and differences to general-purpose approaches. We also survey the trends from early non-deep learning approaches to more recent deep learning approaches. In addition to algorithms, this survey will also describe existing datasets, open-source software packages, and applications. To the best of our knowledge, this is the first comprehensive survey on this topic in computer graphics.
Related Topics
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2410.14770
- https://arxiv.org/pdf/2410.14770
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4404088025
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4404088025Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2410.14770Digital Object Identifier
- Title
-
A Survey on Computational Solutions for Reconstructing Complete Objects by Reassembling Their Fractured PartsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-10-18Full publication date if available
- Authors
-
Jiaxin Lu, Ya Min Liang, Hongwei Han, Jing Hua, Junfeng Jiang, Xin Li, Qixing HuangList of authors in order
- Landing page
-
https://arxiv.org/abs/2410.14770Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2410.14770Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2410.14770Direct OA link when available
- Concepts
-
Computer science, Engineering drawing, Geology, EngineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4404088025 |
|---|---|
| doi | https://doi.org/10.48550/arxiv.2410.14770 |
| ids.doi | https://doi.org/10.48550/arxiv.2410.14770 |
| ids.openalex | https://openalex.org/W4404088025 |
| fwci | |
| type | preprint |
| title | A Survey on Computational Solutions for Reconstructing Complete Objects by Reassembling Their Fractured Parts |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T14339 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9991000294685364 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1707 |
| topics[0].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[0].display_name | Image Processing and 3D Reconstruction |
| topics[1].id | https://openalex.org/T10601 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9883999824523926 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1707 |
| topics[1].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[1].display_name | Handwritten Text Recognition Techniques |
| topics[2].id | https://openalex.org/T11211 |
| topics[2].field.id | https://openalex.org/fields/19 |
| topics[2].field.display_name | Earth and Planetary Sciences |
| topics[2].score | 0.9528999924659729 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1907 |
| topics[2].subfield.display_name | Geology |
| topics[2].display_name | 3D Surveying and Cultural Heritage |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.5279989242553711 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C199639397 |
| concepts[1].level | 1 |
| concepts[1].score | 0.3916449546813965 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1788588 |
| concepts[1].display_name | Engineering drawing |
| concepts[2].id | https://openalex.org/C127313418 |
| concepts[2].level | 0 |
| concepts[2].score | 0.3301408290863037 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1069 |
| concepts[2].display_name | Geology |
| concepts[3].id | https://openalex.org/C127413603 |
| concepts[3].level | 0 |
| concepts[3].score | 0.1826697289943695 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[3].display_name | Engineering |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.5279989242553711 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/engineering-drawing |
| keywords[1].score | 0.3916449546813965 |
| keywords[1].display_name | Engineering drawing |
| keywords[2].id | https://openalex.org/keywords/geology |
| keywords[2].score | 0.3301408290863037 |
| keywords[2].display_name | Geology |
| keywords[3].id | https://openalex.org/keywords/engineering |
| keywords[3].score | 0.1826697289943695 |
| keywords[3].display_name | Engineering |
| language | en |
| locations[0].id | pmh:oai:arXiv.org:2410.14770 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306400194 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | arXiv (Cornell University) |
| locations[0].source.host_organization | https://openalex.org/I205783295 |
| locations[0].source.host_organization_name | Cornell University |
| locations[0].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[0].license | |
| locations[0].pdf_url | https://arxiv.org/pdf/2410.14770 |
| locations[0].version | submittedVersion |
| locations[0].raw_type | text |
| locations[0].license_id | |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | http://arxiv.org/abs/2410.14770 |
| locations[1].id | doi:10.48550/arxiv.2410.14770 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400194 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | True |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | arXiv (Cornell University) |
| locations[1].source.host_organization | https://openalex.org/I205783295 |
| locations[1].source.host_organization_name | Cornell University |
| locations[1].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://doi.org/10.48550/arxiv.2410.14770 |
| indexed_in | arxiv, datacite |
| authorships[0].author.id | https://openalex.org/A5103923205 |
| authorships[0].author.orcid | https://orcid.org/0009-0004-4485-9615 |
| authorships[0].author.display_name | Jiaxin Lu |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Lu, Jiaxin |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5111711917 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Ya Min Liang |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Liang, Yongqing |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5102956994 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-0190-4461 |
| authorships[2].author.display_name | Hongwei Han |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Han, Huijun |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5040157069 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-9808-3355 |
| authorships[3].author.display_name | Jing Hua |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Hua, Jiacheng |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5102827603 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Junfeng Jiang |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Jiang, Junfeng |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A5100354038 |
| authorships[5].author.orcid | https://orcid.org/0000-0003-2036-1367 |
| authorships[5].author.display_name | Xin Li |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Li, Xin |
| authorships[5].is_corresponding | False |
| authorships[6].author.id | https://openalex.org/A5056540212 |
| authorships[6].author.orcid | https://orcid.org/0000-0001-6365-8051 |
| authorships[6].author.display_name | Qixing Huang |
| authorships[6].author_position | last |
| authorships[6].raw_author_name | Huang, Qixing |
| authorships[6].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://arxiv.org/pdf/2410.14770 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | A Survey on Computational Solutions for Reconstructing Complete Objects by Reassembling Their Fractured Parts |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T14339 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9991000294685364 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1707 |
| primary_topic.subfield.display_name | Computer Vision and Pattern Recognition |
| primary_topic.display_name | Image Processing and 3D Reconstruction |
| related_works | https://openalex.org/W4391375266, https://openalex.org/W2899084033, https://openalex.org/W2748952813, https://openalex.org/W2324615561, https://openalex.org/W2086120259, https://openalex.org/W2390279801, https://openalex.org/W2245170124, https://openalex.org/W2076393078, https://openalex.org/W4391913857, https://openalex.org/W2358668433 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:arXiv.org:2410.14770 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400194 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | arXiv (Cornell University) |
| best_oa_location.source.host_organization | https://openalex.org/I205783295 |
| best_oa_location.source.host_organization_name | Cornell University |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://arxiv.org/pdf/2410.14770 |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | text |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://arxiv.org/abs/2410.14770 |
| primary_location.id | pmh:oai:arXiv.org:2410.14770 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400194 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | arXiv (Cornell University) |
| primary_location.source.host_organization | https://openalex.org/I205783295 |
| primary_location.source.host_organization_name | Cornell University |
| primary_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| primary_location.license | |
| primary_location.pdf_url | https://arxiv.org/pdf/2410.14770 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | text |
| primary_location.license_id | |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://arxiv.org/abs/2410.14770 |
| publication_date | 2024-10-18 |
| publication_year | 2024 |
| referenced_works_count | 0 |
| abstract_inverted_index.a | 1, 8, 23 |
| abstract_inverted_index.In | 102 |
| abstract_inverted_index.To | 118 |
| abstract_inverted_index.We | 70, 86 |
| abstract_inverted_index.in | 11, 74, 133 |
| abstract_inverted_index.is | 7, 20, 125 |
| abstract_inverted_index.of | 17, 36, 50, 61, 121 |
| abstract_inverted_index.on | 26, 130 |
| abstract_inverted_index.to | 21, 83, 96, 104 |
| abstract_inverted_index.The | 15, 29 |
| abstract_inverted_index.and | 39, 66, 77, 81, 116 |
| abstract_inverted_index.are | 57 |
| abstract_inverted_index.its | 5 |
| abstract_inverted_index.our | 122 |
| abstract_inverted_index.the | 34, 51, 89, 119, 126 |
| abstract_inverted_index.Many | 45 |
| abstract_inverted_index.also | 47, 87, 109 |
| abstract_inverted_index.best | 120 |
| abstract_inverted_index.deep | 99 |
| abstract_inverted_index.from | 4, 91 |
| abstract_inverted_index.many | 12 |
| abstract_inverted_index.more | 97 |
| abstract_inverted_index.this | 18, 27, 75, 106, 124, 131 |
| abstract_inverted_index.will | 108 |
| abstract_inverted_index.early | 92 |
| abstract_inverted_index.first | 127 |
| abstract_inverted_index.model | 48 |
| abstract_inverted_index.parts | 6 |
| abstract_inverted_index.shape | 62, 64, 68 |
| abstract_inverted_index.their | 79 |
| abstract_inverted_index.topic | 132 |
| abstract_inverted_index.object | 3 |
| abstract_inverted_index.pieces | 38 |
| abstract_inverted_index.priors | 49 |
| abstract_inverted_index.recent | 98 |
| abstract_inverted_index.survey | 25, 88, 107, 129 |
| abstract_inverted_index.topic. | 28 |
| abstract_inverted_index.trends | 90 |
| abstract_inverted_index.article | 19 |
| abstract_inverted_index.between | 42 |
| abstract_inverted_index.context | 76 |
| abstract_inverted_index.matches | 41 |
| abstract_inverted_index.object. | 54 |
| abstract_inverted_index.pieces. | 44 |
| abstract_inverted_index.priors. | 69 |
| abstract_inverted_index.problem | 10, 31 |
| abstract_inverted_index.provide | 22, 71 |
| abstract_inverted_index.purpose | 16 |
| abstract_inverted_index.tightly | 58 |
| abstract_inverted_index.Existing | 55 |
| abstract_inverted_index.addition | 103 |
| abstract_inverted_index.complete | 2, 53 |
| abstract_inverted_index.computer | 134 |
| abstract_inverted_index.describe | 110 |
| abstract_inverted_index.domains. | 14 |
| abstract_inverted_index.existing | 72, 111 |
| abstract_inverted_index.learning | 67, 94, 100 |
| abstract_inverted_index.non-deep | 93 |
| abstract_inverted_index.problems | 60 |
| abstract_inverted_index.requires | 32 |
| abstract_inverted_index.software | 114 |
| abstract_inverted_index.connected | 59 |
| abstract_inverted_index.datasets, | 112 |
| abstract_inverted_index.different | 43 |
| abstract_inverted_index.emphasize | 78 |
| abstract_inverted_index.graphics. | 135 |
| abstract_inverted_index.matching, | 65 |
| abstract_inverted_index.packages, | 115 |
| abstract_inverted_index.algorithms | 73 |
| abstract_inverted_index.approaches | 46, 56, 95 |
| abstract_inverted_index.attributes | 35 |
| abstract_inverted_index.individual | 37 |
| abstract_inverted_index.knowledge, | 123 |
| abstract_inverted_index.reassembly | 30 |
| abstract_inverted_index.scientific | 13 |
| abstract_inverted_index.systematic | 24 |
| abstract_inverted_index.underlying | 52 |
| abstract_inverted_index.algorithms, | 105 |
| abstract_inverted_index.approaches. | 85, 101 |
| abstract_inverted_index.differences | 82 |
| abstract_inverted_index.fundamental | 9 |
| abstract_inverted_index.open-source | 113 |
| abstract_inverted_index.establishing | 40 |
| abstract_inverted_index.similarities | 80 |
| abstract_inverted_index.applications. | 117 |
| abstract_inverted_index.comprehensive | 128 |
| abstract_inverted_index.segmentation, | 63 |
| abstract_inverted_index.understanding | 33 |
| abstract_inverted_index.Reconstructing | 0 |
| abstract_inverted_index.general-purpose | 84 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 7 |
| citation_normalized_percentile |